New 
Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 26, 2025 | |
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OverviewAre you a customer-obsessed, AI (Artificial Intelligence)-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure Customer Experience Platform (CXP) team's mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. In the new era of AI, this role within Azure CXP Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for an Applied Scientist II who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists. Every day, our customers stake their business and reputation on our cloud. You can help provide our customers with the world-class cloud services they need to succeed. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesAs a Data and Applied Scientist in our team, you will:Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback.Communicate technical findings and insights effectively.Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate on improvements.Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designersEnsure compliance to Microsoft Responsible AI standards throughout the AI system lifecycleStay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications. | |